Alle Papers – KI in der Krebserkennung

Digital Breast Tomosynthesis–guided Vacuum-assisted Breast Biopsy: Initial Experiences and Comparison with Prone Stereotactic Vacuum-assisted Biopsy

Combining shape, texture and intensity features for cell nuclei extraction in Pap smear images

Handbuch der Mikroskopie in der Technik

Technique for preprocessing of digital mammogram

Role of ultrasonography in detecting mammographically occult breast carcinoma in women with dense breasts

Automatic classification between COVID-19 pneumonia, non-COVID-19 pneumonia, and the healthy on chest X-ray image: combination of data augmentation methods

Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning

Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis

A new approach for classification skin lesion based on transfer learning, deep learning, and IoT system

Mammogram synthesis using a 3D simulation. I. Breast tissue model and image acquisition simulation

High-Throughput Classification of Radiographs Using Deep Convolutional Neural Networks

An explainable stacked ensemble of deep learning models for improved melanoma skin cancer detection

Federated learning: a collaborative effort to achieve better medical imaging models for individual sites that have small labelled datasets

Artificial Neural Networks in Image Processing for Early Detection of Breast Cancer

ACR–AAPM–SIIM Technical Standard for Electronic Practice of Medical Imaging

Texture analysis for classification of cervix lesions

Neuroimaging and Machine Learning for Dementia Diagnosis: Recent Advancements and Future Prospects

Improving the value of clinical research through the use of Common Data Elements

Implementing the DICOM Standard for Digital Pathology

Deep-learning approach to identifying cancer subtypes using high-dimensional genomic data

Deep learning for automatic Gleason pattern classification for grade group determination of prostate biopsies

Automatic Liver Segmentation Using a Statistical Shape Model With Optimal Surface Detection

Breast MRI lesion classification: Improved performance of human readers with a backpropagation neural network computer‐aided diagnosis (CAD) system

Detection of COVID-19 using CXR and CT images using Transfer Learning and Haralick features

Comparison of Digital Screening Mammography and Screen-Film Mammography in the Early Detection of Clinically Relevant Cancers: A Multicenter Study